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Cross-scale Analysis of Spatial Cluster Correspondence

Author:
Jean-Claude Thill   Yongmei Lu  


Issue Date:
2008


Abstract(summary):

A number of phenomena studied in spatial sciences involve two or more locationally- defined point events that are logically or functionally related. Some of the most obvious examples include daily commute that relates the traveler s home location and work place, or the spatial-temporal path followed by human migration. Cluster correspondence analysis examines the local spatial dependence of paired point locations of this sort. It assesses the autocorrelation of a subset of locations when their paired subset of locations form clusters. The evaluation of cluster correspondence is critically related to the spatial resolution (or scale) of the analysis as well as to the definition of neighborhood within which a subset of points or their paired points are examined. This paper expands an exploratory spatial data analysis approach developed by the authors to discuss how the operational neighborhood can be incorporated in the analysis through the definition of the zoning system over the study area. Furthermore, it argues that the scales at which the zones are aggregated into neighborhoods could impact the identified patterns of cluster correspondence. Empirical analyses using pairs of vehicle theft and recovery locations based on different zoning methods and across a series of scales are reported.


Page:
40


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